Implement __repr__ for FromFunctionLocalOptimizer

aesara/graph/opt.py

@@ -1200,7 +1200,10 @@ class FromFunctionLocalOptimizer(LocalOptimizer):
         return self._tracks
 
     def __str__(self):
-        return getattr(self, "__name__", "<FromFunctionLocalOptimizer instance>")
+        return getattr(self, "__name__", repr(self))
+
+    def __repr__(self):
+        return f"FromFunctionLocalOptimizer({repr(self.fn)}, {repr(self._tracks)}, {repr(self.requirements)})"
 
     def print_summary(self, stream=sys.stdout, level=0, depth=-1):
         print(f"{' ' * level}{self.transform} id={id(self)}", file=stream)

tests/graph/test_opt.py

@@ -25,6 +25,7 @@ from aesara.tensor.subtensor import AdvancedSubtensor
 from aesara.tensor.type import matrix, values_eq_approx_always_true
 from aesara.tensor.type_other import MakeSlice, SliceConstant, slicetype
 from tests.graph.utils import (
+    MyOp,
     MyType,
     MyVariable,
     op1,
@@ -691,3 +692,15 @@ class TestLocalOptGroup:
             "optimizer: rewrite local_opt_2 replaces Op2(y, y) with [Op2.0]"
             in capres.out
         )
+
+
+def test_local_optimizer_str():
+    @local_optimizer([op1, MyOp])
+    def local_opt_1(fgraph, node):
+        pass
+
+    assert str(local_opt_1) == "local_opt_1"
+    res = repr(local_opt_1)
+    assert res.startswith("FromFunctionLocalOptimizer(")
+    assert "Op1" in res
+    assert "local_opt_1" in res